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https://issues.apache.org/jira/browse/AIRFLOW-2736?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16653211#comment-16653211
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jack edited comment on AIRFLOW-2736 at 10/17/18 9:00 AM:
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What are the values of AIRFLOW__CORE__DAG_CONCURRENCY and
AIRFLOW__CORE__PARALLELISM in your setup?
was (Author: jackjack10):
What are the values of {{AIRFLOW__CORE__PARALLELISM and
}}{{AIRFLOW__CORE__DAG_CONCURRENCY}}{{ in your setup?}}
> Airflow 1.9.0+ Scheduler not honouring "non_pooled_task_slot_count" config
> --------------------------------------------------------------------------
>
> Key: AIRFLOW-2736
> URL: https://issues.apache.org/jira/browse/AIRFLOW-2736
> Project: Apache Airflow
> Issue Type: Bug
> Components: scheduler
> Affects Versions: 1.9.0
> Reporter: raman
> Priority: Major
>
> We are using airflow version 1.9 with celery executor. And we are observing
> that Airflow Scheduler is not honouring the "non_pooled_task_slot_count"
> config. We are using default setting which is set to 128. But we could
> schedule and run >128 tasks concurrently.
> From code it seems that scheduler is re-initialising the open_slots with 128
> instead of setting the remaining left over slots.
> in Jobs.py
> for pool, task_instances in pool_to_task_instances.items():
> if not pool:
> # Arbitrary:
> # If queued outside of a pool, trigger no more than
> # non_pooled_task_slot_count per run
> open_slots = conf.getint('core', 'non_pooled_task_slot_count')
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